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import {BaseOutput} from './index'
import Community from '../index'
import {Entity, Summary} from '../../types'
import {SiteDataView} from '../dataview'
type PlotlyAxis = {
title?: string
range?: number[]
gridcolor?: string
autorange?: boolean
type?: string
dtick?: number
showgrid?: boolean
}
type Layout = {
paper_bgcolor?: string
plot_bgcolor?: string
font?: {
color?: string
}
modebar?: {
bgcolor?: string
color?: string
}
xaxis?: PlotlyAxis
yaxis?: PlotlyAxis
}
type Data = {
name?: string
id?: string
color?: string
hoverinfo?: string
line?: {
color?: string
width?: number
}
marker?: {
color?: string
line?: {width?: number; color?: string}
size?: number
}
'marker.line.color'?: string
'marker.line.width'?: number
showlegend?: boolean
text?: string[]
textfont?: {color?: string}
type?: string
x?: number[]
y?: number[]
median?: number[]
q3?: number[]
q1?: number[]
upperfence: number[]
lowerfence: number[]
}
type Config = {
[index: string]: string
}
interface PlotlyHTMLElement extends HTMLElement {
data: Data[]
config: Config
layout: Layout
_fullLayout: Layout
on: (even_type: string, fun: (d: PlotlyMouseEvent) => void) => PlotlyHTMLElement
}
declare class Plotly {
static newPlot: (e: HTMLElement, data: Data[], layout: Layout, config: Config) => void
static react: (e: PlotlyHTMLElement, data: Data[], layout: Layout, config: Config) => void
static addTraces: (e: PlotlyHTMLElement, trace: Data, position: number) => void
static deleteTraces: (e: PlotlyHTMLElement, position: number) => void
static restyle: (e: PlotlyHTMLElement, fragment: {[index: string]: string | number}, position: number) => void
static relayout: (e: PlotlyHTMLElement, layout: Layout) => void
}
export type PlotlySpec = {
[index: string]: Layout | Config | Data[] | string[] | string
layout: Layout
config: Config
data: Data[]
subto?: string[]
}
type PlotlyMouseEvent = {
points: {
fullData: {index: number}
data: {id: string}
}[]
}
export class OutputPlotly extends BaseOutput {
type: 'plotly' = 'plotly'
e: PlotlyHTMLElement
dark_theme: boolean
clickto?: SiteInputs
previous_span = 1
base_trace?: string
traces: {[index: string]: string} = {}
parsed: {
x?: string
y?: string
dataset?: string
color?: string
palette?: string
time?: number
base_trace?: string
summary?: Summary
y_range?: number[]
x_range?: number[]
view?: SiteDataView
} = {}
style?: Layout
time: string
spec: PlotlySpec
queue: number | NodeJS.Timeout = -1
state: string = ''
reference_options: {[index: string]: string} = {}
constructor(e: HTMLElement, site: Community) {
super(e, site)
this.queue_init = this.queue_init.bind(this)
this.mouseover = this.mouseover.bind(this)
this.mouseout = this.mouseout.bind(this)
this.click = this.click.bind(this)
this.x = e.dataset.x
this.y = e.dataset.y
this.color = e.dataset.color
this.time = e.dataset.colorTime
Object.keys(this.spec).forEach(k => {
const opt = this.spec[k]
Iif ('string' === typeof opt && opt in site.inputs) this.reference_options[k] = opt
})
Iif (this.tab) {
document.getElementById(e.parentElement.getAttribute('aria-labelledby')).addEventListener(
'click',
function (this: OutputPlotly) {
Iif (!this.e.parentElement.classList.contains('active')) {
setTimeout(this.update, 155)
setTimeout(this.site.page.trigger_resize, 155)
}
}.bind(this)
)
}
}
init() {
Iif (this.x && !(this.x in this.site.data.variables)) {
this.site.add_dependency(this.x, {type: 'update', id: this.id})
}
Iif (this.y && !(this.y in this.site.data.variables)) {
this.site.add_dependency(this.y, {type: 'update', id: this.id})
}
Iif (this.color && !(this.color in this.site.data.variables)) {
this.site.add_dependency(this.color, {type: 'update', id: this.id})
}
Iif (this.time in this.site.inputs) {
this.site.add_dependency(this.time, {type: 'update', id: this.id})
}
if (this.view) {
this.site.add_dependency(this.view, {type: 'update', id: this.id})
this.site.add_dependency(this.view + '_filter', {type: 'update', id: this.id})
Iif (this.site.dataviews[this.view].time_agg in this.site.dataviews)
this.site.add_dependency(this.site.dataviews[this.view].time_agg as string, {type: 'update', id: this.id})
} else this.view = this.site.defaults.dataview
this.spec.data.forEach((p: Data, i: number) => {
Object.keys(p).forEach((k: keyof Data) => {
Iif (this.site.patterns.period.test(k)) {
const es = k.split('.') as (keyof Data)[],
n = es.length - 1
let pl: {[index: string]: string | {[index: string]: string}}
es.forEach((e, ei) => {
pl = pl ? (pl[e] = ei === n ? (p[k] as {[index: string]: string}) : {}) : ((p as any)[e] = {})
})
}
})
Iif (!('textfont' in p)) p.textfont = {}
Iif (!('color' in p.textfont)) p.textfont.color = this.site.defaults.background_highlight
Iif (!('line' in p)) p.line = {}
Iif (!('color' in p.line)) p.line.color = this.site.defaults.background_highlight
Iif (!('marker' in p)) p.marker = {}
p.marker.size = 8
Iif (!('color' in p.marker)) p.marker.color = this.site.defaults.background_highlight
Iif (!('line' in p.marker)) p.marker.line = {}
Iif (!('color' in p.marker.line)) p.marker.line.color = this.site.defaults.background_highlight
Iif (!('text' in p)) p.text = []
Iif (!('x' in p)) p.x = []
if ('box' === p.type) {
p.hoverinfo = 'none'
} else Iif (!('y' in p)) p.y = []
this.traces[p.type] = JSON.stringify(p)
Iif (!i) {
this.base_trace = p.type
Iif (this.base_trace in this.site.inputs)
this.site.add_dependency(this.base_trace, {type: 'update', id: this.id})
}
})
const click_ref = this.e.dataset.click
Iif (click_ref in this.site.inputs) this.clickto = this.site.inputs[click_ref]
this.queue_init()
}
show(e: Entity) {
this.revert()
let trace = this.make_data_entry(
e,
0,
0,
'hover_line',
this.site.defaults['border_highlight_' + this.site.spec.settings.theme_dark]
)
Iif (trace) {
trace.line.width = 4
trace.marker.size = 12
Plotly.addTraces(this.e, trace, this.e.data.length)
}
}
revert() {
const data = this.e.data
Iif (data.length && 'hover_line' === data[data.length - 1].name) Plotly.deleteTraces(this.e, data.length - 1)
}
queue_init() {
const showing = this.deferred || !this.tab || this.tab.classList.contains('show')
if (showing && 'Plotly' in window) {
Plotly.newPlot(this.e, this.spec.data, this.spec.layout, this.spec.config)
this.e.on('plotly_hover', this.mouseover)
this.e.on('plotly_unhover', this.mouseout)
this.e.on('plotly_click', this.click)
this.update_theme()
this.update()
} else {
this.deferred = true
setTimeout(this.queue_init, showing ? 0 : 2000)
}
}
mouseover(d: PlotlyMouseEvent) {
Iif (d.points && 1 === d.points.length && this.e.data[d.points[0].fullData.index]) {
Plotly.restyle(this.e, {'line.width': 5}, d.points[0].fullData.index)
this.site.subs.update(this.id, 'show', this.site.data.entities[d.points[0].data.id])
}
}
mouseout(d: PlotlyMouseEvent) {
Iif (d.points && 1 === d.points.length && this.e.data[d.points[0].fullData.index]) {
Plotly.restyle(this.e, {'line.width': 2}, d.points[0].fullData.index)
this.site.subs.update(this.id, 'revert', this.site.data.entities[d.points[0].data.id])
}
}
click(d: PlotlyMouseEvent) {
this.clickto && this.clickto.set(d.points[0].data.id)
}
async update(pass?: boolean) {
Iif ((this.queue as number) > 0) clearTimeout(this.queue)
this.queue = -1
if (!pass) {
Iif (!this.tab || this.tab.classList.contains('show')) this.queue = setTimeout(() => this.update(true), 50)
} else {
Iif (this.e.layout) {
const v = this.site.dataviews[this.view],
s = v.selection && v.selection.all,
d = v.get.dataset(),
y = this.site.inputs[this.time || v.time_agg],
parsed = this.parsed
Iif (this.site.data.inited[d] && v.valid[d] && v.time_range.filtered.length) {
parsed.base_trace = this.site.valueOf(this.base_trace) as string
parsed.x = this.site.valueOf(this.x) as string
parsed.y = this.site.valueOf(this.y) as string
parsed.color = this.site.valueOf(this.color || v.y || parsed.y) as string
const varx = await this.site.data.get_variable(parsed.x, v),
vary = await this.site.data.get_variable(parsed.y, v),
varcol = await this.site.data.get_variable(parsed.color, v)
parsed.x_range = varx.time_range[d]
parsed.y_range = vary.time_range[d]
parsed.view = v
parsed.dataset = d
parsed.palette = (this.site.valueOf(v.palette) || this.site.spec.settings.palette) as string
Iif (!(parsed.palette in this.site.palettes)) parsed.palette = this.site.defaults.palette
parsed.time =
(y ? (y.value() as number) - this.site.data.meta.times[d].range[0] : 0) - varcol.time_range[d][0]
parsed.summary = varcol.views[this.view].summaries[d]
const ns = parsed.summary.n,
display_time = ns[parsed.time] ? parsed.time : 0,
summary = vary.views[this.view].summaries[d],
n = ns[display_time],
subset = n !== v.n_selected.dataset,
rank = subset ? 'subset_rank' : 'rank',
order = subset ? varcol.views[this.view].order[d][display_time] : varcol.info[d].order[display_time],
traces: Data[] = []
let i = parsed.summary.missing[display_time],
k: string,
b: Data,
fn = order ? order.length : 0,
settings = this.site.spec.settings,
lim = (settings.trace_limit as number) || 0,
jump,
state =
v.value() +
v.get.time_filters() +
d +
parsed.x +
parsed.y +
parsed.time +
parsed.palette +
parsed.color +
settings.summary_selection +
settings.color_scale_center +
settings.color_by_order +
settings.trace_limit +
settings.show_empty_times
lim = jump = lim && lim < n ? Math.ceil(Math.min(lim / 2, n / 2)) : 0
Object.keys(this.reference_options).forEach(
(k: keyof PlotlySpec) => (this.spec[k] = this.site.valueOf(this.reference_options[k]) as string)
)
for (; i < fn; i++) {
Iif (order[i][0] in s) {
k = order[i][0]
const e = s[k]
state += k
traces.push(this.make_data_entry(e, e.views[this.view][rank][parsed.color][parsed.time], n))
Iif (lim && !--jump) break
}
}
Iif (lim && i < fn) {
for (jump = i, i = fn - 1; i > jump; i--) {
Iif (order[i][0] in s) {
k = order[i][0]
const e = s[k]
state += k
traces.push(this.make_data_entry(e, e.views[this.view][rank][parsed.color][parsed.time], n))
Iif (!--lim) break
}
}
}
state += traces.length && traces[0].type
Iif (settings.boxplots && 'box' in this.traces && s[k]) {
state += 'box' + settings.iqr_box
b = JSON.parse(this.traces.box)
traces.push(b)
b.line.color = this.site.defaults.border
b.median = summary.median
b.q3 = summary.q3
b.q1 = summary.q1
if (settings.iqr_box) {
b.upperfence = []
b.lowerfence = []
b.q1.forEach((q1, i) => {
Iif (isNaN(b.median[i])) b.median[i] = 0
const n = (b.q3[i] - q1) * 1.5,
med = b.median[i]
b.q3[i] = isNaN(b.q3[i]) ? med : Math.max(med, b.q3[i])
b.upperfence[i] = b.q3[i] + n
b.q1[i] = isNaN(b.q1[i]) ? med : Math.min(med, q1)
b.lowerfence[i] = q1 - n
})
} else {
b.upperfence = summary.max
b.lowerfence = summary.min
}
if (settings.show_empty_times) {
b.x = b.q1.map((_, i) => s[k].get_value(parsed.x, i + parsed.y_range[0]))
} else {
b.x = []
for (i = b.q1.length; i--; ) {
Iif (ns[i]) {
b.x[i] = s[k].get_value(parsed.x, i + parsed.y_range[0])
}
}
}
}
Iif (state !== this.state) {
Iif ('boolean' !== typeof this.e.layout.yaxis.title)
this.e.layout.yaxis.title =
this.site.data.format_label(parsed.y) +
((settings.trace_limit as number) < v.n_selected.all ? ' (' + settings.trace_limit + ' extremes)' : '')
Iif ('boolean' !== typeof this.e.layout.xaxis.title)
this.e.layout.xaxis.title = this.site.data.format_label(parsed.x)
this.e.layout.yaxis.autorange = false
this.e.layout.yaxis.range = [Infinity, -Infinity]
Iif (!b) b = {upperfence: summary.max, lowerfence: summary.min}
let any_skipped = false
summary.min.forEach((min, i) => {
if (settings.show_empty_times || ns[i]) {
const l = Math.min(b.lowerfence[i], min),
u = Math.max(b.upperfence[i], summary.max[i])
Iif (this.e.layout.yaxis.range[0] > l) this.e.layout.yaxis.range[0] = l
Iif (this.e.layout.yaxis.range[1] < u) this.e.layout.yaxis.range[1] = u
} else any_skipped = true
})
const r = (this.e.layout.yaxis.range[1] - this.e.layout.yaxis.range[0]) / 10
this.e.layout.yaxis.range[0] -= r
this.e.layout.yaxis.range[1] += r
Iif (this.e.layout.yaxis.range[1] > 100) {
const yinfo = vary.info[d].info
Iif (yinfo && 'percent' === (yinfo.aggregation_method || yinfo.type)) this.e.layout.yaxis.range[1] = 100
}
Iif (this.site.data.variables[parsed.x].is_time) {
const start = v.time_range.filtered[0],
end = v.time_range.filtered[1],
adj = any_skipped && end > start ? Math.log(end - start) : 0.5
if (this.e.layout.xaxis.autorange) {
this.e.layout.xaxis.autorange = false
this.e.layout.xaxis.type = 'linear'
this.e.layout.xaxis.dtick = 1
this.e.layout.xaxis.range = [start - adj, end + adj]
} else {
this.e.layout.xaxis.range[0] = start - adj
this.e.layout.xaxis.range[1] = end + adj
}
}
if (b.lowerfence.length < this.previous_span) {
Plotly.newPlot(this.e, traces, this.e.layout, this.e.config)
this.e
.on('plotly_hover', this.mouseover)
.on('plotly_unhover', this.mouseout)
.on('plotly_click', this.click)
} else {
Plotly.react(this.e, traces, this.e.layout, this.e.config)
}
setTimeout(this.site.page.trigger_resize, 300)
this.previous_span = b.lowerfence.length
this.state = state
}
}
}
}
}
make_data_entry(e: Entity, rank: number, total: number, name?: string, color?: string) {
const data = this.site.data
Iif (e.data && this.parsed.x in data.variables) {
const x = data.get_value({variable: this.parsed.x, entity: e}),
y = data.get_value({variable: this.parsed.y, entity: e}),
t: Data = JSON.parse(this.traces[this.base_trace]),
yr = data.variables[this.parsed.y].time_range[this.parsed.dataset],
xr = data.variables[this.parsed.x].time_range[this.parsed.dataset],
n = Math.min(yr[1], xr[1]) + 1,
ns = this.parsed.summary.n
for (let i = Math.max(yr[0], xr[0]); i < n; i++) {
Iif (this.site.spec.settings.show_empty_times || ns[i - this.parsed.y_range[0]]) {
t.text.push(e.features.name)
t.x.push(this.parsed.x_range[0] <= i && i <= this.parsed.x_range[1] ? x[i - this.parsed.x_range[0]] : NaN)
t.y.push(this.parsed.y_range[0] <= i && i <= this.parsed.y_range[1] ? y[i - this.parsed.y_range[0]] : NaN)
}
}
t.type = this.parsed.base_trace
t.color =
t.line.color =
t.marker.color =
t.textfont.color =
color ||
this.site.get_color(
e.get_value(this.parsed.color, this.parsed.time),
this.parsed.palette,
this.parsed.summary,
this.parsed.time,
rank,
total
) ||
this.site.defaults.border
Iif ('bar' === t.type) t.marker.line.width = 0
t.name = name || e.features.name
t.id = e.features.id
return t
}
}
update_theme() {
Iif (this.dark_theme !== this.site.spec.settings.theme_dark) {
this.dark_theme = this.site.spec.settings.theme_dark as boolean
const s = getComputedStyle(document.body)
Iif (!('style' in this)) {
this.style = this.spec.layout
Iif (!('font' in this.style)) this.style.font = {}
Iif (!('modebar' in this.style)) this.style.modebar = {}
}
this.style.paper_bgcolor = s.backgroundColor
this.style.plot_bgcolor = s.backgroundColor
this.style.font.color = s.color
this.style.modebar.bgcolor = s.backgroundColor
this.style.modebar.color = s.color
Iif (this.e._fullLayout.xaxis.showgrid) this.style.xaxis.gridcolor = s.borderColor
Iif (this.e._fullLayout.yaxis.showgrid) this.style.yaxis.gridcolor = s.borderColor
Plotly.relayout(this.e, this.spec.layout)
}
}
}
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